Can I run Code Llama 34b or o1 cheaper on another provider?

Some models are available on inference providers like Together AI, Groq, and Fireworks AI at lower prices. Check each model's pricing page for the full provider comparison.

What is the context window difference between Code Llama 34b and o1?

o1 has a larger context window at 200K tokens vs 16K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Code Llama 34b vs o1

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

MetaLlama 3

Model

Code Llama 34b

Best $0.900 in · $0.900 out

Context window 16K

Pricing

OpenAIo1

Model

o1

Image inputTool calling

Best $15.00 in · $60.00 out

Context window 200K

Pricing

Code Llama 34b is cheaper across the board — 94% cheaper on input and 98% cheaper on output.

Estimate cost

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

Provider	Code Llama 34b in	Code Llama 34b out	o1 in	o1 out
Azure	N/A	N/A	$15.00	$60.00
Fireworks AI	$0.900	$0.900	N/A	N/A
OpenAI	N/A	N/A	$15.00	$60.00
Openrouter	N/A	N/A	$15.00	$60.00
Replicate	N/A	N/A	$15.00	$60.00
Vercel Ai Gateway	N/A	N/A	$15.00	$60.00

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · Meta · OpenAI

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

Meta · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

OpenAI · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec

Code Llama 34b

Context window: 16,384 tokens; 200,000 tokens
Max output tokens: 16,384 tokens; 100,000 tokens
Vision: No; Yes
Function calling: No; Yes
Streaming: No; No
Release date: N/A; Dec 2024

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Code Llama 34b

Requests / day

Input tokens

Output tokens

Code Llama 34b

Monthly

$405

Annual

$4.9K

Monthly

$13.5K

Annual

$164.3K

Save $13.1K/month with Code Llama 34b

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

Long-context tasks
Use o1. Its 200K context window handles large codebases and documents better than 16K.
High-volume text generation
Use Code Llama 34b. Output tokens are 98% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use o1. Its 100K max output limit reduces the need to split requests.

Frequently asked questions

Code Llama 34b is cheaper on both input and output tokens.

More comparisons

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